diff --git a/docs/数据科学/Data100.en.md b/docs/数据科学/Data100.en.md
index 8eceee35..e9804e27 100644
--- a/docs/数据科学/Data100.en.md
+++ b/docs/数据科学/Data100.en.md
@@ -3,7 +3,7 @@
 ## Description
 
 - Offered by: UC Berkeley
-- Prerequisites: CS61A, Linear Algebra
+- Prerequisites: Data 8, CS61A, Linear Algebra
 - Programming Languages: Python
 - Difficulty: 🌟🌟🌟
 - Class Hour: 80 hours
@@ -11,7 +11,7 @@
 This is Berkeley's introductory course in data science, covering the basics of data cleaning, feature extraction, data visualization, machine learning and inference, as well as common data science tools such as Pandas, Numpy, and Matplotlib. The course is also rich in interesting programming assignments, which is one of the highlights of the course.
 
 ## Resources
-- Course Website: <https://ds100.org/fa21/>
+- Course Website: <https://ds100.org>
 - Records: refer to the course website
 - Textbook: <https://www.textbook.ds100.org/intro.html>
 - Assignments: refer to the course website